R version 2.7.0 (2008-04-22) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(100,93.6666666666667,89.575,83.6916666666667,84.6833333333333,81.7333333333333) > par1 = '6' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > (n <- length(x)) [1] 6 > (np <- floor(n / par1)) [1] 1 > arr <- array(NA,dim=c(par1,np+1)) > darr <- array(NA,dim=c(par1,np+1)) > ari <- array(0,dim=par1) > dx <- diff(x) > j <- 0 > for (i in 1:n) + { + j = j + 1 + ari[j] = ari[j] + 1 + arr[j,ari[j]] <- x[i] + darr[j,ari[j]] <- dx[i] + if (j == par1) j = 0 + } > ari [1] 1 1 1 1 1 1 > arr [,1] [,2] [1,] 100.00000 NA [2,] 93.66667 NA [3,] 89.57500 NA [4,] 83.69167 NA [5,] 84.68333 NA [6,] 81.73333 NA > darr [,1] [,2] [1,] -6.3333333 NA [2,] -4.0916667 NA [3,] -5.8833333 NA [4,] 0.9916667 NA [5,] -2.9500000 NA [6,] NA NA > arr.mean <- array(NA,dim=par1) > arr.median <- array(NA,dim=par1) > arr.midrange <- array(NA,dim=par1) > for (j in 1:par1) + { + arr.mean[j] <- mean(arr[j,],na.rm=TRUE) + arr.median[j] <- median(arr[j,],na.rm=TRUE) + arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 + } > overall.mean <- mean(x) > overall.median <- median(x) > overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 > postscript(file="/var/www/html/rcomp/tmp/1zv6w1226597337.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.mean,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2e1821226597337.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.median,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3pjlr1226597337.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.midrange,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4l2lv1226597337.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(arr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [1,] 100 93.66667 89.575 83.69167 84.68333 81.73333 [2,] 100 93.66667 89.575 83.69167 84.68333 81.73333 [3,] 100 93.66667 89.575 83.69167 84.68333 81.73333 [4,] 100 93.66667 89.575 83.69167 84.68333 81.73333 [5,] 100 93.66667 89.575 83.69167 84.68333 81.73333 $n [1] 1 1 1 1 1 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] 100 93.66667 89.575 83.69167 84.68333 81.73333 [2,] 100 93.66667 89.575 83.69167 84.68333 81.73333 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5dj231226597337.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(darr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [1,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA [2,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA [3,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA [4,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA [5,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA $n [1] 1 1 1 1 1 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA [2,] -6.333333 -4.091667 -5.883333 0.9916667 -2.95 NA $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6k1hs1226597338.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(arr) > names(z) <- c(1:np) > (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) $stats [,1] [,2] [1,] 81.73333 NA [2,] 83.69167 NA [3,] 87.12917 NA [4,] 93.66667 NA [5,] 100.00000 NA $n [1] 6 0 $conf [,1] [,2] [1,] 80.69497 NA [2,] 93.56336 NA $out numeric(0) $group numeric(0) $names [1] "1" NA Warning message: In bxp(list(stats = c(81.7333333333333, 83.6916666666667, 87.1291666666666, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/72va21226597338.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(cbind(arr.mean,arr.median,arr.midrange)) > names(z) <- list('mean','median','midrange') > (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots')) $stats [,1] [,2] [,3] [1,] 81.73333 81.73333 81.73333 [2,] 83.69167 83.69167 83.69167 [3,] 87.12917 87.12917 87.12917 [4,] 93.66667 93.66667 93.66667 [5,] 100.00000 100.00000 100.00000 $n [1] 6 6 6 $conf [,1] [,2] [,3] [1,] 80.69497 80.69497 80.69497 [2,] 93.56336 93.56336 93.56336 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(81.7333333333333, 83.6916666666667, 87.1291666666666, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/1zv6w1226597337.ps tmp/1zv6w1226597337.png") > system("convert tmp/2e1821226597337.ps tmp/2e1821226597337.png") > system("convert tmp/3pjlr1226597337.ps tmp/3pjlr1226597337.png") > system("convert tmp/4l2lv1226597337.ps tmp/4l2lv1226597337.png") > system("convert tmp/5dj231226597337.ps tmp/5dj231226597337.png") > system("convert tmp/6k1hs1226597338.ps tmp/6k1hs1226597338.png") > system("convert tmp/72va21226597338.ps tmp/72va21226597338.png") > > > proc.time() user system elapsed 2.492 1.550 2.723